At a Glance
- Tasks: Join a dynamic team to develop AI solutions for NHS call experiences.
- Company: X-on, a forward-thinking tech company in Melton, Woodbridge.
- Benefits: Up to £35,000 salary, hybrid work, and opportunities for learning.
- Other info: Collaborative environment with room for growth and innovation.
- Why this job: Make a real difference in healthcare with cutting-edge AI technology.
- Qualifications: Experience in software development and a passion for AI.
The predicted salary is between 30000 - 35000 £ per year.
Location: Melton, Woodbridge, Suffolk
Salary: Up to £35,000 (depending upon experience)
Hybrid - office based Monday, Wednesday and Friday
We are looking for an AI Software Engineer to join the team at X-on in Melton, Woodbridge. Within this role you will help build the infrastructure that powers our next generation of call experiences and data insight tools for our NHS customers.
Responsibilities:
- Work within a small agile team to solve technical challenges, develop new functionality and make non-functional improvements to our products and services.
- Understand business requirements and how they translate into technical design and development projects and tasks.
- Participate in architectural and design discussions and diagnose and troubleshoot complex technical issues.
- Work with stakeholders to progress and report on projects and tasks.
- Building Voice Agents: Developing and maintaining our Go-based Voice Agent API.
- Development: Contributing to our unified AI API that acts as the gateway between our telephony products and various AI providers.
- Tool Creation: Developing "Tools" (Function Calling) that allow LLMs to interact with real-world data, enabling features such as consultant lookups (RAG) and clinical system integrations.
- Data Insights: Building pipelines to transcribe and analyse historical call recordings to extract sentiment, summary, and outcome data.
- Prompt Engineering: Refining system prompts to ensure our agents are safe, accurate, and empathetic in a healthcare context.
- Learning and Development: Keeping up to date with the rapidly changing AI landscape (e.g. exploring new models) and prototyping how they can be applied to our products.
- Operations: Optionally contribute to our AI infrastructure to help operate self-hosted open-source models.
- Testing.
AI Software Engineer in Suffolk employer: X-on Health
X-on is an exceptional employer located in the picturesque Melton, Woodbridge, offering a dynamic hybrid work environment that fosters innovation and collaboration. With a strong focus on employee growth, we provide opportunities for continuous learning in the rapidly evolving AI landscape, alongside a supportive culture that values teamwork and creativity. Join us to make a meaningful impact in healthcare technology while enjoying a competitive salary and the flexibility of working from home part of the week.
StudySmarter Expert Advice🤫
We think this is how you could land AI Software Engineer in Suffolk
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space, especially those who work at companies you're interested in. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and software development. This gives potential employers a taste of what you can do beyond the written application.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios specific to AI software engineering. Practice coding challenges and be ready to discuss your thought process during problem-solving.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at X-on.
We think you need these skills to ace AI Software Engineer in Suffolk
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Software Engineer role. Highlight relevant experience, especially in building APIs and working with AI technologies. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our team. Be sure to mention any specific projects or experiences that relate to the job description.
Showcase Your Problem-Solving Skills:In your application, don’t forget to showcase your problem-solving skills. We love candidates who can tackle technical challenges head-on, so share examples of how you've done this in the past!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at X-on Health
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in AI, especially those relevant to healthcare. Be ready to discuss your experience with voice agents, API development, and any tools you've created that interact with real-world data.
✨Show Off Your Problem-Solving Skills
Prepare examples of how you've tackled technical challenges in the past. Think about specific projects where you diagnosed complex issues or contributed to architectural discussions. This will show them you're a proactive team player.
✨Understand the Business Side
Get familiar with how AI solutions can impact NHS customers. Be prepared to explain how you translate business requirements into technical designs. This will demonstrate your ability to bridge the gap between tech and business needs.
✨Ask Smart Questions
Come armed with questions that show your interest in their products and services. Inquire about their current projects, the tools they use, or how they approach prompt engineering. This not only shows your enthusiasm but also helps you gauge if the role is right for you.
